Дослідження шляхів застосування ші для прогнозування якісних показників роботи телекомунікаційної мережі

Abstract

The work examines the possibilities of applying artificial intelligence technologies to predict the quality performance indicators of telecommunication networks. Modern approaches to the use of machine learning methods for processing large volumes of network data and predicting changes in quality of service parameters are analyzed. The research is aimed at identifying effective ways to apply artificial intelligence algorithms in order to improve the stability, reliability, and performance of telecommunication systems.